FVL-FP combines cross-layer fair prompts, orthogonal projection off demographic subspaces, and fairness-weighted prompt fusion to reduce group bias in federated vision-language models.
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Mitigating Group-Level Fairness Disparities in Federated Visual Language Models
FVL-FP combines cross-layer fair prompts, orthogonal projection off demographic subspaces, and fairness-weighted prompt fusion to reduce group bias in federated vision-language models.